期刊
JOURNAL OF HAZARDOUS MATERIALS
卷 408, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhazmat.2020.124868
关键词
Sulfide precipitation; CFD; Supersaturation level; Gas-liquid mass transfer; Heavy metal wastewater
资金
- National Natural Science Foundation of China [51804351]
- National Funds for Distinguished Young Scientists [51825403]
- Key Technologies Research and Development Program [2018YFC1900301]
A gas-liquid sulfide precipitation reactor was designed for the removal of Cu2+, with control of reaction rate and supersaturation levels through a combination of CFD simulation and experimental results. The study showed that the gas-liquid mass transfer process is the rate-limiting step of the reaction, and adjusting H2S(g) bubble diameter or flow rate can control the system's reaction rate and supersaturation level effectively. Validating the CFD simulations with experimental results suggests that the mechanistic model can provide a protocol for designing and optimizing reaction systems.
The production of fine particles from extremely high supersaturation has challenged the application of sulfide precipitation in treating heavy metal wastewater due to the difficulty of solid-liquid separation. To this end, a gas-liquid sulfide precipitation reactor for the removal of Cu2+ was designed by controlling the mass transfer and supersaturation levels during sulfidation processes. Particularly, a computational fluid dynamics (CFD) model of the reactor, integrating sulfidation reaction kinetics with two-phase flow hydrodynamics, was first built, followed by examining the effects of H2S(g) bubble diameter and flow rate. Based on the CFD simulation, the rate-limiting step of the gas-liquid sulfide precipitation reaction is the gas-liquid mass transfer process. Either reducing H2S(g) bubble diameter or increasing H2S(g) flow rate can result in the control of reaction rate and supersaturation level in the system. In order to validate the CFD simulations, we measured Cu2+ concentrations during the sulfidation process with the batch experiments. The agreement between computational and experimental results indicated that our mechanistic model can provide a protocol for the design and optimization of the reaction system, allowing one to visualize the time-dependent reaction process and evaluate the performance of a reactor.
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